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Ph.D. Program

Current Students

The philosophy of the PhD program, along with the Affiliated Ph.D.  Program with the Salk Institute for Biological Studies, is to provide world-class research training in the basic biological sciences to equip a diverse group of trainees for a variety of scientific careers ranging from academia and industry to education, communication, or policy. Core principles of the program are to be student centered and attuned to the goals of the trainee.

The core curriculum focuses on development of core competencies and transferable skills in critical thinking, communication, and leadership. The first year prepares students for the core of the PhD program, the development of intellectual independence and creativity through original thesis research, guided by a thesis advisor and committee. Students have a high degree of flexibility in choice of thesis advisor through the rotation program. Throughout the program, there is strong emphasis on engaged mentoring through regular committee meetings, annual reports and Individual Development Plans.

As a central hub of the thriving San Diego biosciences community, the program maintains strong partnerships with other campus units and programs through joint faculty appointments, organized research units, and research collaborations, enabling a wide range of interdisciplinary opportunities . The mission is to conduct leading edge research in the basic biological sciences. Major areas of emphasis currently include structural biology, cell biology, developmental biology, neurobiology, immunology, microbiology, virology, plant biology, ecology, and evolutionary biology. Research in the School has emphasized studies using model organisms or in vitro mechanistic approaches, with human studies and clinical research concentrated in other departments or in the Health Sciences. Current and future areas of growth include quantitative biology, data science, and the biological consequences of climate change.

  • Rigor, reproducibility, and responsibility as hallmarks of high-quality science
  • Commitment to quality mentorships, student mental health, and well-being
  • Equity, Diversity and Inclusion as integral to program admissions and retention
  • Open science practices valuing multiple research outputs and holistic assessment of scholarly excellence
  • Communication and outreach as key aspects of scientific training

As a doctoral program embedded in a large undergraduate instructional unit, our approach incorporates substantial training in teaching methodology and best practices. Our philosophy remains that teaching and research are interdependent facets of engaged scholarship.

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School of Biological Sciences

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School of Biological Sciences

Doctoral Programs

Departmental doctoral programs.

The School of Biological Sciences offers graduate training in a collaborative environment with several schools and graduate programs. This provides excellent research training and professional development for graduate students pursuing the doctorate. Training opportunities include broad areas of Biological, Biomedical and Environmental Sciences including Neuroscience, Immunology and Pathogenesis, Cancer Biology, Developmental and Stem Cell Biology, Systems and Computational Biology, Genomics, Structural Biology, Ecology, and Evolutionary Biology.

The Department of Ecology and Evolutionary Biology offers direct admission to the PhD program. However, the other BioSci departments offer admission through a gateway disciplinary program such as CMB or INP.

biology phd programs in california

Ecology and Evolutionary Biology

The Department of Ecology and Evolutionary Biology is home to 38 faculty and about 60 doctoral students. Research in Ecology and Evolutionary Biology uses a range of methodologies spanning field studies, experimental approaches, and computational approaches. Students and faculty have easy access to field sites that include marine, desert, and California chaparral communities. The faculty have diverse interests including evolutionary biology, population genetics, genomics, behavioral ecology, physiology, and global change biology. Faculty in Ecology and Evolutionary Biology have extensive collaborations with scientists in neuroscience, molecular biology, genomics and microbiomes, global climate biology, systems biology, mathematics, as well as with faculty at other institutions.

The Department of Ecology and Evolutionary Biology offers admission directly to a departmental graduate program with full financial support. Students initiate research with a faculty thesis advisor while they take required coursework and complete other degree requirements. Departmental programs offer an excellent opportunity for students that have decided to work in a specific area or with an individual faculty supervisor

University of California, Irvine Student Learning Outcomes for Ecology and Evolutionary Biology, PhD

School of Biological Sciences PLOs

Ecology and Evolutionary Biology M.S./Ph.D.

PLO1: Core Knowledge

  • Demonstrate a basic knowledge of central concepts in the biological sciences
  • Understand the current concepts in ecology, evolutionary biology, and organismal physiology
  • Demonstrate knowledge of a specialized discipline within ecology and evolutionary biology sufficiently to carry out substantive independent research

PLO2: Research Methods and Analysis

  • Read and critically evaluate the scientific literature
  • Formulate hypotheses based on current concepts in the field
  • Design, conduct, and interpret their independent research projects
  • Understand the range of tools appropriate for research in their sub-field
  • Understand and follow research ethics

PLO3: Pedagogy:

  • Communicate effectively to large and small groups in pedagogical settings including teaching, research seminars, and other formats
  • Identify and effectively deploy suitable technologies for use in all aspects of instruction

PLO4: Scholarly Communication:

  • Review and discuss relevant literature and their significance
  • Publish research results in peer-reviewed publications and in a dissertation
  • Communicate research results effectively through oral presentations at scientific seminars, conferences, and other venues
  • Make clear and cogent oral presentations, including effective use of technology

PLO5: Professionalism

  • Write compelling abstracts describing their research for consideration at research conferences
  • Prepare oral presentations suitable for presentation at a research conference
  • Make effective contributions to research teams and learning seminars
  • Make effective contributions to department, university, community, and professional service
  • Mentor junior researchers (e.g., undergraduates, beginning graduate students)

PLO6: Independent Research

  • Develop their own research projects that meet high standards of theoretical and methodological rigor with lasting impact
  • Produce scholarship that is comparable in scope and format to articles that appear in leading peer-reviewed journals in ecology, evolutionary biology, and organismal physiology
  • Supervise junior researchers (e.g., high school students, undergraduates, beginning graduate students) effectively

Learning Outcomes by Department

Ecology and evolutionary biology, phd, neurobiology and behavior, phd.

Neurobiology and Behavior M.S./Ph.D.

  • Understand the current concepts in molecular biology, biochemistry, and biomedical sciences
  • Demonstrate specialized knowledge of cellular and molecular biology sufficient to carry out substantive independent research
  • Produce scholarship that is comparable in scope and format to articles that appear in leading peer-reviewed journals in molecular and biomedical sciences

Molecular Biology and Biochemistry, PhD

Molecular Biology and Biochemistry M.S./Ph.D.

  • Master current concepts in molecular biology, biochemistry, and biomedical sciences
  • Acquire specialized knowledge of cellular and molecular biology sufficient to carry out substantive independent research

PLO2: Research Methods and Analysis 

  • Design, conduct, and interpret experiments to complete an original research project
  • Understand the range of tools appropriate for research in the specific sub-field
  • Appreciate and adhere to research ethics

PLO3: Pedagogy: 

  • Communicate effectively to small and large groups in pedagogical settings such as teaching and research seminars

PLO4: Scholarly Communication: 

  • Review and discuss relevant literature and its significance
  • Complete an individual development plan (IDP) at the time of entering the MBB program (Fall quarter of the 2 nd year) and update it annually
  • Submit fellowship proposals to private and governmental agencies to solicit independent funding for graduate research
  • Anticipate and meet the needs for professional transitions in a timely fashion (prior to degree completion)
  • Write compelling abstracts describing research for consideration at research conferences

PLO6: Independent Research 

  • Effectively supervise junior researchers (e.g., high school students, undergraduates, beginning graduate students)

Interdepartmental Doctoral Gateway Programs

Gateway programs offer admission to the doctoral programs affiliated with the Schools of Biological Sciences, Medicine, Physical Sciences, Engineering and Information & Computer Science. Students enroll for the first academic year while they do lab rotations and take required coursework. Then, students select a thesis advisor and transfer to a department and complete remaining degree requirements. Gateway programs offer students excellent opportunities to perform laboratory rotations with any of a large number of faculty participants in that program, and in many areas of biological sciences.

Dev Cell

Cellular Molecular BioSciences

The PhD program in Cellular & Molecular Biosciences (CMB) at UC Irvine provides ideal training to launch the careers of talented researchers in diverse fields of biological and biomedical sciences. With five different study focuses, the CMB PhD program gears future scientists to be ready for a diverse field.  The program offers a rigorous but flexible curriculum with an extensive choice of laboratories and allows students to tailor their training to individual interests and goals. Outstanding facilities, a collaborative culture, a commitment to diversity, and guaranteed on-campus housing all contribute to a productive graduate experience. Applicants receive full financial support that covers tuition, a generous stipend, and health insurance.

For more information, please visit the CMB website.

Woman holding Brain

Interdepartmental Neuroscience Program

Neuroscience is an inherently broad and multidisciplinary area of scientific pursuit and scholarship. It has intellectual links to fields as diverse as developmental and cell biology, molecular biology, physiology, pharmacology, anatomy, psychology, computer science, and physics. The substantial breadth of Neuroscience is one of its strengths as a discipline, and one of the features that makes it an attractive and important area for graduate study. The Interdepartmental Neuroscience Program (INP) provides a vehicle for meeting the diversity and challenges of graduate training in such a broad discipline. Neuroscience faculty from several departments and schools that represent many broad areas of research participate in the INP. Students may train with any participating faculty member and are exposed to a variety of approaches before deciding on a research area for focused dissertation work. After the initial year of academic coursework and laboratory rotations, students join the more specialized graduate program of their chosen thesis advisor.

biology phd programs in california

Mathematical, Computational, and System Biology

The goal of UCI’s program in Mathematical, Computational and Systems Biology (MCSB) is to provide students from a variety of academic backgrounds with doctoral training suitable for research careers in the nascent field of Systems Biology. The program emphasizes in-depth classroom study, interdisciplinary research rotations, and individualized advising. The MCSB Program is supported by funding from UCI’s Graduate Division, by a National Institute of General Medical Sciences grant to the UCI Center for Complex Biological Systems, and an NIH Training Grant.

The program begins with an initial “gateway” year, known as the Mathematical and Computational Biology (MCB) program, during which students receive basic training in principles of biology, as well as in mathematics, engineering and computer science. Students also participate in research rotations, workshops, and directed reading of the Systems Biology literature. Upon successful completion of the MCB year, students select a thesis advisor and complete the doctorate in departments throughout the biological, physical and information sciences and engineering. Students also have the option to complete a Doctorate in Mathematical Computational and Systems Biology directly from the MCSB program. The MCSB Gateway program provides complete financial support to admitted students during the first year, which includes an annual stipend, as well as full tuition and fee remission, including health benefits.

Related Doctoral Programs

  • Links to related doctoral programs

Pharmacological Sciences Doctoral Program

Cognitive Sciences Doctoral Program

  • Links to departmental doctoral programs

Developmental and Cell Biology

Molecular Biology and Biochemistry

Neurobiology and Behavior

Note: Only the Department of Ecology and Evolutionary Biology offers direct admission to their PhD program. The 3 other BioSci departments offer training opportunities after entering an interdisciplinary gateway program such as CMB, INP or Mathematical Computational and System Biology.

Molecular and Cell Biology

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The Department of Molecular & Cell Biology at the University of California, Berkeley offers a Ph.D. program focused on the molecular mechanisms inherent to life. This program integrates research with a modern training curricula, teaching, and career mentorship. Our Department is highly interdisciplinary - comprising the Divisions of Cell Biology, Development & Physiology, Immunology and Molecular Medicine, Neurobiology, Biochemistry, Biophysics & Structural Biology, and Genetics, Genomics, and Development – and this is reflected in our students and training. The program is also highly collaborative with related programs and Institutes on campus, thus allowing students the flexibility to explore all aspects of modern biological research. Please click on the links below to learn more about our areas of research on the main department website or use the menu at the top to navigate to areas of interest within the graduate program.

Cell Biology, Development & Physiology

Biochemistry, biophysics & structural biology.

UCLA Graduate Division

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UCLA Graduate Programs

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Graduate Program: Biology

UCLA's Graduate Program in Biology offers the following degree(s):

Master of Science (M.S.)

Doctor of Philosophy (Ph.D.)

With questions not answered here or on the program’s site (above), please contact the program directly.

Biology Graduate Program at UCLA 114 Hershey Hall, 612 Charles E. Young Drive East Box 957246 Los Angeles, CA 90095-7246

Visit the Ecology and Evolutionary Biology Department’s faculty roster

COURSE DESCRIPTIONS

Visit the registrar's site for the Ecology and Evolutionary Biology Department’s course descriptions

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(310) 825-1959

[email protected]

MAJOR CODE: BIOLOGY

College of Biological Sciences

College of Biological Sciences

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Graduate Education

With world-class faculty and advanced facilities, the college offers exceptional opportunities for collaboration and growth for students in its highly interdisciplinary graduate programs, which tailor each student's education to their to research interests. 

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Biology@Berkeley

Graduate programs.

UC Berkeley has many excellent graduate programs. Those in fields related to the biological sciences are listed below. Interested students should visit the Prospective Student page for information about applying to UC Berkeley graduate programs.

Departments and Graduate Groups

  • Bioengineering
  • Biostatistics
  • Comparative Biochemistry
  • Computational Biology
  • Endocrinology
  • Environmental Health Science
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  • Microbiology
  • Molecular & Cell Biology
  • Molecular and Biochemical Nutrition
  • Molecular Toxicology
  • Neuroscience
  • Plant Biology
  • Public Health
  • Vision Science

Designated Emphases

The following programs do not accept applicants directly, but instead accept students from specific programs above who would like to specialize in their topic.

  • Computational and Genomic Biology
  • Chemical Biology
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Center for Computational Biology

Computational Biology PhD

The main objective of the Computational Biology PhD is to train the next generation of scientists who are both passionate about exploring the interface of computation and biology, and committed to functioning at a high level in both computational and biological fields.

The program emphasizes multidisciplinary competency, interdisciplinary collaboration, and transdisciplinary research, and offers an integrated and customizable curriculum that consists of two semesters of didactic course work tailored to each student’s background and interests, research rotations with faculty mentors spanning computational biology’s core disciplines, and dissertation research jointly supervised by computational and biological faculty mentors.

The Computational Biology Graduate Group facilitates student immersion into UC Berkeley’s vibrant computational biology research community. Currently, the Group includes over 46 faculty from across 14 departments of the College of Letters and Science, the College of Engineering, the College of Natural Resources, and the School of Public Health. Many of these faculty are available as potential dissertation research advisors for Computational Biology PhD students, with more available for participation on doctoral committees.

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The First Year

The time to degree (normative time) of the Computational Biology PhD is five years. The first year of the program emphasizes gaining competency in computational biology, the biological sciences, and the computational sciences (broadly construed). Since student backgrounds will vary widely, each student will work with faculty and student advisory committees to develop a program of study tailored to their background and interests. Specifically, all first-year students must:

  • Perform three rotations with Core faculty (one rotation with a non-Core faculty is acceptable with advance approval)
  • Complete course work requirements (see below)
  • Complete a course in the Responsible Conduct of Research
  • Attend the computational biology seminar series
  • Complete experimental training (see below)

Laboratory Rotations

Entering students are required to complete three laboratory rotations during their first year in the program to seek out a Dissertation Advisor under whose supervision dissertation research will be conducted. Students should rotate with at least one computational Core faculty member and one experimental Core faculty member. Click here to view rotation policy. 

Course Work & Additional Requirements

Students must complete the following coursework in the first three (up to four) semesters. Courses must be taken for a grade and a grade of B or higher is required for a course to count towards degree progress:

  • Fall and Spring semester of CMPBIO 293, Doctoral Seminar in Computational Biology
  • A Responsible Conduct of Research course, most likely through the Department of Molecular and Cell Biology.
  • STAT 201A & STAT 201B : Intro to Probability and Statistics at an Advanced Level. Note: Students who are offered admission and are not prepared to complete STAT 201A and 201B will be required to complete STAT 134 or PH 142 first.
  • CS61A : The Structure and Interpretation of Computer Programs. Note: students with the equivalent background can replace this requirement with a more advanced CS course of their choosing.
  • 3 elective courses relevant to the field of Computational Biology , one of which must be at the graduate level (see below for details).
  • Attend the computational biology invited speaker seminar series. A schedule is circulated to all students by email and is available on the Center website. Starting with the 2023 entering class, CCB PhD students must enroll in CMPBIO 275: Computational Biology Seminar , which provides credit for this seminar series.
  • 1) completion of a laboratory course at Berkeley with a minimum grade of B,
  • 2) completion of a rotation in an experimental lab (w/ an experimental project), with a positive evaluation from the PI,
  • a biological sciences undergraduate major with at least two upper division laboratory-based courses,
  • a semester or equivalent of supervised undergraduate experimental laboratory-based research at a university,
  • or previous paid or volunteer/internship work in an industry-based experimental laboratory.

Students are expected to develop a course plan for their program requirements and to consult with the Head Graduate Advisor before the Spring semester of their first year for formal approval (signature required). The course plan will take into account the student’s undergraduate training areas and goals for PhD research areas.

Satisfactory completion of first year requirements will be evaluated at the end of the spring semester of the first year. If requirements are satisfied, students will formally choose a Dissertation advisor from among the core faculty with whom they rotated and begin dissertation research.

Waivers: Students may request waivers for the specific courses STAT 201A, STAT 201B, and CS61A. In all cases of waivers, the student must take alternative courses in related areas so as to have six additional courses, as described above. For waiving out of STAT 201A/B, students can demonstrate they have completed the equivalent by passing a proctored assessment exam on Campus. For waiving out CS61A, the Head Graduate Advisor will evaluate student’s previous coursework based on the previous course’s syllabus and other course materials to determine equivalency.

Electives: Of the three electives, students are required to choose one course in each of the two following cluster areas:

  • Cluster A (Biological Science) : These courses are defined as those for which the learning goals are primarily related to biology. This includes courses covering topics in molecular biology, genetics, evolution, environmental science, experimental methods, and human health. This category may also cover courses whose focus is on learning how to use bioinformatic tools to understand experimental data.
  • Cluster B (Computational Sciences): These courses are defined as those for which the learning goals involve computing, inference, or mathematical modeling, broadly defined. This includes courses on algorithms, computing languages or structures, mathematical or probabilistic concepts, and statistics. This category would include courses whose focus is on biological applications of such topics.

In the below link we give some relevant such courses, but students can take courses beyond this list; for courses not on this list, the Head Graduate Advisor will determine to which cluster a course can be credited. For classes that have significant overlap between these two clusters, the department which offers the course may influence the decision of the HGA as to whether the course should be assigned to cluster A or B.

See below for some suggested courses in these categories:

Suggested Coursework Options

Second Year & Beyond

At the beginning of the fall of the second year, students begin full-time dissertation research in earnest under the supervision of their Dissertation advisor. It is anticipated that it will take students three (up to four) semesters to complete the 6 course requirement. Students are required to continue to participate annually in the computational biology seminar series.

Qualifying Examination

Students are expected to take and pass an oral Qualifying Examination (QE) by the end of the spring semester (June 15th) of their second year of graduate study. Students must present a written dissertation proposal to the QE committee no fewer than four weeks prior to the oral QE. The write-up should follow the format of an NIH-style grant proposal (i.e., it should include an abstract, background and significance, specific aims to be addressed (~3), and a research plan for addressing the aims) and must thoroughly discuss plans for research to be conducted in the dissertation lab. Click here for more details on the guidelines and format for the QE. Click here to view the rules for the composition of the committee and the form for declaring your committee.

Advancement to Candidacy

After successfully completing the QE, students will Advance to Candidacy. At this time, students select the members of their dissertation committee and submit this committee for approval to the Graduate Division. Students should endeavor to include a member whose research represents a complementary yet distinct area from that of the dissertation advisor (ie, biological vs computational, experimental vs theoretical) and that will be integrated in the student’s dissertation research. Click here to view the rules for the composition of the committee and the form for declaring your committee.

Meetings with the Dissertation Committee

After Advancing to Candidacy, students are expected to meet with their Dissertation Committee at least once each year.

Teaching Requirements

Computational Biology PhD students are required to teach at least two semesters (starting with Fall 2019 class), but may teach more. The requirement can be modified if the student has funding that does not allow teaching. Starting with the Fall 2019 class: At least one of those courses should require that you teach a section. Berkeley Connect or CMPBIO 293 can count towards one of the required semesters.

The Dissertation

Dissertation projects will represent scholarly, independent and novel research that contributes new knowledge to Computational Biology by integrating knowledge and methodologies from both the biological and computational sciences. Students must submit their dissertation by the May Graduate Division filing deadline (see Graduate Division for date) of their fifth–and final–year.

Special Requirements

Students will be required to present their research either orally or via a poster at the annual retreat beginning in their second year.

  • Financial Support

The Computational Biology Graduate Group provides a competitive stipend (the stipend for 2023-24 is $43,363) as well as full payment of fees and non-resident tuition (which includes health care). Students maintaining satisfactory academic progress are provided full funding for five to five and a half years. The program supports students in the first year, while the PI/mentor provides support from the second year on. A portion of this support is in the form of salary from teaching assistance as a Graduate Student Instructor (GSI) in allied departments, such as Molecular and Cell Biology, Integrative Biology, Plant and Microbial Biology, Mathematics, Statistics or Computer Science. Teaching is part of the training of the program and most students will not teach more than two semesters, unless by choice.

Due to cost constraints, the program admits few international students; the average is two per year. Those admitted are also given full financial support (as noted above): stipend, fees and tuition.

Students are also strongly encouraged to apply for extramural fellowships for the proposal writing experience. There are a number of extramural fellowships that Berkeley students apply for that current applicants may find appealing. Please note that the NSF now only allows two submissions – once as an undergrad and once in grad school. The NSF funds students with potential, as opposed to specific research projects, so do not be concerned that you don’t know your grad school plans yet – just put together a good proposal! Although we make admissions offers before the fellowships results are released, all eligible students should take advantage of both opportunities to apply, as it’s a great opportunity and a great addition to a CV.

  • National Science Foundation Graduate Research Fellowship (app deadlines in Oct)
  • Hertz Foundation Fellowship (app deadline Oct)
  • National Defense Science and Engineering Graduate Fellowship (app deadline in mid-Fall)
  • DOE Computational Science Graduate Fellowship (Krell Institute) (app deadline in Jan)

CCB no longer requires the GRE for admission (neither general, nor subject). The GRE will not be seen by the review committee, even if sent to Berkeley.

PLEASE NOTE: The application deadline is Wednesday, November 30 , 2023, 8:59 PST/11:59 EST

If you would like to learn more about our program, you can watch informational YouTube videos from the past two UC Berkeley Graduate Diversity Admissions Fairs: 2021 recording & 2020 recording .

We invite applications from students with distinguished academic records, strong foundations in the basic biological, physical and computational sciences, as well as significant computer programming and research experience. Admission for the Computational Biology PhD is for the fall semester only, and Computational Biology does not offer a Master’s degree.

We are happy to answer any questions you may have, but please be sure to read this entire page first, as many of your questions will be answered below or on the Tips tab.

IMPORTANT : Please note that it is not possible to select a specific PhD advisor until the end of the first year in the program, so contacting individual faculty about openings in their laboratories will not increase your chances of being accepted into the program. You will have an opportunity to discuss your interests with relevant faculty if you are invited to interview in February.

Undergraduate Preparation

Minimum requirements for admission to graduate study:

  • A bachelor’s degree or recognized equivalent from an accredited institution.
  • Minimum GPA of 3.0.
  • Undergraduate preparation reflecting a balance of training in computational biology’s core disciplines (biology, computer science, statistics/mathematics), for example, a single interdisciplinary major, such as computational biology or bioinformatics; a major in a core discipline and a combination of interdisciplinary course work and research experiences; or a double major in core disciplines.
  • Basic research experience and aptitude are key considerations for admission, so evidence of research experience and letters of recommendation from faculty mentors attesting to the applicant’s research experience are of particular interest.
  • GRE – NOT required or used for review .
  • TOEFL scores for international students (see below for details).

Application Requirements

ALL materials, including letters, are due November 30, 2023 (8:59 PST). More information is provided and required as part of the online application, so please create an account and review the application before emailing with questions (and please set up an account well before the deadline):

  • A completed graduate application: The online application opens in early or mid-September and is located on the Graduate Division website . Paper applications are not accepted. Please create your account and review the application well ahead of the submit date , as it will take time to complete and requests information not listed here.
  • A nonrefundable application fee: The fee must be paid using a major credit card and is not refundable. For US citizens and permanent residents, the fee is $135; US citizens and permanent residents may request a fee waiver as part of the online application. For all other students (international) the fee is $155 (no waivers, no exceptions). Graduate Admissions manages the fee, not the program, so please contact them with questions.
  • Three letters of recommendation, minimum (up to five are accepted): Letters of recommendation must be submitted online as part of the Graduate Division’s application process. Letters are also due November 30, so please inform your recommenders of this deadline and give them sufficient advance notice. It is your responsibility to monitor the status of your letters of recommendation (sending prompts, as necessary) in the online system.
  • Transcripts: Unofficial copies of all relevant transcripts, uploaded as part of the online application (see application for details). Scanned copies of official transcripts are strongly preferred, as transcripts must include applicant and institution name and degree goal and should be easy for the reviewers to read (print-outs from online personal schedules can be hard to read and transcripts without your name and the institution name cannot be used for review). Do not send via mail official transcripts to Grad Division or Computational Biology, they will be discarded.
  • Essays: Follow links to view descriptions of what these essays should include ( Statement of Purpose [2-3 pages], Personal Statement [1-2 pages]). Also review Tips tab for formatting advice.
  • (Highly recommended) Applicants should consider applying for extramural funding, such as NSF Fellowships. These are amazing opportunities and the application processes are great preparation for graduate studies. Please see Financial Support tab.
  • Read and follow all of the “Application Tips” listed on the last tab. This ensures that everything goes smoothly and you make a good impression on the faculty reviewing your file.

The GRE general test is not required. GRE subject tests are not required. GRE scores will not be a determining factor for application review and admission, and will NOT be seen by the CCB admissions committee. While we do not encourage anyone to take the exam, in case you decide to apply to a different program at Berkeley that does require them: the UC Berkeley school code is 4833; department codes are unnecessary. As long as the scores are sent to UC Berkeley, they will be received by any program you apply to on campus.

TOEFL/IELTS

Adequate proficiency in English must be demonstrated by those applicants applying from countries where English is not the official language. There are two standardized tests you may take: the Test of English as a Foreign Language (TOEFL), and the International English Language Testing System (IELTS). TOEFL minimum passing scores are 90 for the  Internet-based test (IBT) , and 570 for the paper-based format (PBT) . The TOEFL may be waived if an international student has completed at least one year of full-time academic course work with grades of B or better while in residence at a U.S. university (transcript will be required). Please click here for more information .

Application Deadlines

The Application Deadline is 8:59 pm Pacific Standard Time, November 30, 2023 . The application will lock at 9pm PST, precisely. All materials must be received by the deadline. While rec letters can continue to be submitted and received after the deadline, the committee meets in early December and will review incomplete applications. TOEFL tests should be taken by or before the deadline, but self-reported scores are acceptable for review while the official scores are being processed. All submitted applications will be reviewed, even if materials are missing, but it may impact the evaluation of the application.

It is your responsibility to ensure and verify that your application materials are submitted in a timely manner. Please be sure to hit the submit button when you have completed the application and to monitor the status of your letters of recommendation (sending prompts, as necessary). Please include the statement of purpose and personal statement in the online application. While you can upload a CV, please DO NOT upload entire publications or papers. Please DO NOT send paper résumés, separate folders of information, or articles via mail. They will be discarded unread.

The Computational Biology Interview Visit dates will be: February 25-27, 2024

Top applicants who are being considered for admission will be invited to visit campus for interviews with faculty. Invitations will be made by early January. Students are expected to stay for the entire event, arriving in Berkeley by 5:30pm on the first day and leaving the evening of the final day. In the application, you must provide the names of between 7-10 faculty from the Computational Biology website with whom you are interested in conducting research or performing rotations. This helps route your application to our reviewers and facilitates the interview scheduling process. An invitation is not a guarantee of admission.

International students may be interviewed virtually, as flights are often prohibitively expensive.

Tips for the Application Process

Uploaded Documents: Be sure to put your name and type of essay on your essays ( Statement of Purpose [2-3 pages], Personal Statement [1-2 pages]) as a header or before the text, whether you use the text box or upload a PDF or Word doc. There is no minimum length on either essay, but 3 pages maximum is suggested. The Statement of Purpose should describe your research and educational background and aspirations. The Personal Statement can include personal achievements not necessarily related to research, barriers you’ve had to overcome, mentoring and volunteering activities, things that make you unique and demonstrate the qualities you will bring to the program.

Letters of Recommendation: should be from persons who have supervised your research or academic work and who can evaluate your intellectual ability, creativity, leadership potential and promise for productive scholarship. If lab supervision was provided by a postdoc or graduate student, the letter should carry the signature or support of the faculty member in charge of the research project. Note: the application can be submitted before all of the recommenders have completed their letters. It is your responsibility to keep track of your recommender’s progress through the online system. Be sure to send reminders if your recommenders do not submit their letters.

Extramural fellowships: it is to your benefit to apply for fellowships as they may facilitate entry into the lab of your choice, are a great addition to your CV and often provide higher stipends. Do not allow concerns about coming up with a research proposal before joining a lab prevent you from applying. The fellowships are looking for research potential and proposal writing skills and will not hold you to specific research projects once you have started graduate school.

Calculating GPA: Schools can differ in how they assign grades and calculate grade point averages, so it may be difficult for this office to offer advice. The best resource for calculating the GPA for your school is to check the back of the official transcripts where a guide is often provided or use an online tool. There are free online GPA conversion tools that can be found via an internet search.

Faculty Contact/Interests: Please be sure to list faculty that interest you as part of the online application. You are not required to contact any faculty in advance, nor will it assist with admission, but are welcome to if you wish to learn more about their research.

Submitting the application: To avoid the possibility of computer problems on either side, it is NOT advisable to wait until the last day to start and/or submit your application. It is not unusual for the application system to have difficulties during times of heavy traffic. However, there is no need to submit the application too early. No application will be reviewed before the deadline.

Visits: We only arrange one campus visit for recruitment purposes. If you are interested in visiting the campus and meeting with faculty before the application deadline, you are welcome to do so on your own time (we will be unable to assist).

Name: Please double check that you have entered your first and last names in the correct fields. This is our first impression of you as a candidate, so you do want to get your name correct! Be sure to put your name on any documents that you upload (Statement of Purpose, Personal Statement).

California Residency: You are not considered a resident if you hope to enter our program in the Fall, but have never lived in California before or are here on a visa. So, please do not mark “resident” on the application in anticipation of admission. You must have lived in California previously, and be a US citizen or Permanent Resident, to be a resident.

Faculty Leadership Head Graduate Advisor and Chair for the PhD & DE John Huelsenbeck ( [email protected] )

Associate Head Graduate Advisor for PhD & DE Liana Lareau ( [email protected] )

Equity Advisor Rasmus Nielsen ( [email protected] )

Director of CCB Elizabeth Purdom ( [email protected] )

Core PhD & DE Faculty ( link )

Staff support Student Services Advisor (GSAO): Kate Chase ( [email protected] )

Link to external website (http://www.berkeley.edu)

What are you looking for?

Suggested search, the mcb phd program, introduction.

Students in the Ph.D. program receive broad training in how biological systems function at the level of nucleic acids and proteins, cells and development, and evolution of populations and species and will receive a PhD in Molecular Biology. Faculty from the Molecular and Computational Biology Section participate in the program, offering access to diverse expertise and research programs. Approximately 75 students are enrolled in the graduate program and conduct research with faculty members. Incoming students can be admitted through one of two tracks – an Open Admission Track and a Direct Admission Track. Students admitted through the Open Admission track rotate through three research labs in their first year, selecting a PhD advisor in the Spring of their first year. Students admitted through Direct Admission have already identified their research advisor before applying to the program and begin working in the lab of their advisor in the Fall of the first year. Additionally, during their first and second year, students take a core curriculum that lays the foundation for more advanced study, while also learning skills such as critical reading of the scientific literature, grant writing, data analysis using R, and oral presentation skills.

Faculty research areas

Aging Biochemistry Cancer Biology Cell Biology Chemical Biology Evolutionary Biology Genetics Mechanisms of DNA replication, repair, and genome stability Neurobiology Regulation of gene expression Structural Biology Synthetic Biology Systems Biology

Meet the MCB PhD Program Faculty!

General statistics

Number of applicants: approx. 165 per year

Number of offers extended: approx. 25 (about 15% of applicants)

Number of offers accepted: 14

Time to completion: 6 year average

Teaching Assistant Requirement: Minimum 1 semester TAing

Funding: Our department provides funding for the first five years of your program through a variety of teaching and research assistantships, fellowships, and scholarships.

Apply to the program!

Meet the faculty, current mcb graduate student information.

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Biology Graduate Programs in California

1-25 of 33 results

Stanford University Department of Humanities and Sciences

Stanford, CA •

Stanford University •

Graduate School

Stanford University ,

Graduate School ,

STANFORD, CA ,

Stanford University School of Medicine

  • • Rating 5 out of 5   3 reviews

Doctoral Student: I begin in the Fall of 2023--Based on my interview, and pre-classes I have taken this program is amazing. It is very student-centered. ... Read 3 reviews

3 Niche users give it an average review of 5 stars.

Featured Review: Doctoral Student says I begin in the Fall of 2023--Based on my interview, and pre-classes I have taken this program is amazing. It is very student-centered. .

Read 3 reviews.

Division of Biology and Biological Engineering - California Institute of Technology

Pasadena, CA •

California Institute of Technology •

California Institute of Technology ,

PASADENA, CA ,

Mississippi State University

Graduate School •

MISSISSIPPI STATE, MS

  • • Rating 4.52 out of 5   50

San Francisco Bay University

FREMONT, CA

  • • Rating 3 out of 5   2

University of La Verne

LA VERNE, CA

  • • Rating 4.49 out of 5   65

Dornsife College of Letters, Arts and Sciences

Los Angeles, CA •

University of Southern California •

University of Southern California ,

LOS ANGELES, CA ,

UCLA College of Letters and Science

University of California - Los Angeles •

  • • Rating 3 out of 5   1 review

University of California - Los Angeles ,

1 Niche users give it an average review of 3 stars.

Read 1 reviews.

UC Berkeley College of Letters & Science

Berkeley, CA •

University of California - Berkeley •

Blue checkmark.

University of California - Berkeley ,

BERKELEY, CA ,

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UC San Diego Division of Biological Sciences

La Jolla, CA •

University of California - San Diego •

University of California - San Diego ,

LA JOLLA, CA ,

College of Science and Mathematics - Cal Poly - San Luis Obispo

San Luis Obispo, CA •

California Polytechnic State University (Cal Poly) - San Luis Obispo •

California Polytechnic State University (Cal Poly) - San Luis Obispo ,

SAN LUIS OBISPO, CA ,

University of San Francisco College of Arts and Sciences

San Francisco, CA •

University of San Francisco •

University of San Francisco ,

SAN FRANCISCO, CA ,

College of Natural Sciences and Mathematics - California State University - Long Beach

Long Beach, CA •

California State University - Long Beach •

California State University - Long Beach ,

LONG BEACH, CA ,

Point Loma Nazarene University

San Diego, CA •

  • • Rating 4.49 out of 5   171 reviews

Master's Student: They truly focus on making sure their students understand concepts and develop skillsets for the workplace. They do not prioritize memorizing unnecessary information or revolve around good grades. Each professor is determined to make sure each student understands the topics. The small class sizes cater to that. ... Read 171 reviews

SAN DIEGO, CA ,

171 Niche users give it an average review of 4.5 stars.

Featured Review: Master's Student says They truly focus on making sure their students understand concepts and develop skillsets for the workplace. They do not prioritize memorizing unnecessary information or revolve around good grades.... .

Read 171 reviews.

College of Sciences - San Diego State University

San Diego State University •

San Diego State University ,

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  • Biostatistics Graduate Programs
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University of the Pacific College of the Pacific

Stockton, CA •

University of the Pacific •

University of the Pacific ,

STOCKTON, CA ,

College of Natural Sciences and Mathematics - California State University - Fullerton

Fullerton, CA •

California State University - Fullerton •

California State University - Fullerton ,

FULLERTON, CA ,

College of Natural Sciences - California State University - Chico

Chico, CA •

California State University - Chico •

California State University - Chico ,

CHICO, CA ,

College of Science - California State Polytechnic University - Pomona

Pomona, CA •

California State Polytechnic University - Pomona •

California State Polytechnic University - Pomona ,

POMONA, CA ,

College of Letters and Sciences - National University

National University •

National University ,

Dominican University of California School of Health and Natural Sciences

San Rafael, CA •

Dominican University of California •

Dominican University of California ,

SAN RAFAEL, CA ,

College of Science and Mathematics - California State University - Fresno

Fresno, CA •

California State University - Fresno •

California State University - Fresno ,

FRESNO, CA ,

College of Science and Mathematics - California State University - Northridge

Northridge, CA •

California State University - Northridge •

California State University - Northridge ,

NORTHRIDGE, CA ,

College of Natural Sciences and Mathematics - California State University - Sacramento

Sacramento, CA •

California State University - Sacramento •

California State University - Sacramento ,

SACRAMENTO, CA ,

College of Science and Mathematics - California State University - San Marcos

San Marcos, CA •

California State University - San Marcos •

California State University - San Marcos ,

SAN MARCOS, CA ,

College of Natural and Social Sciences - California State University - Los Angeles

California State University - Los Angeles •

California State University - Los Angeles ,

College of Science - San Jose State University

San Jose, CA •

San Jose State University •

San Jose State University ,

SAN JOSE, CA ,

California State University - San Bernardino College of Natural Sciences

San Bernardino, CA •

California State University - San Bernardino •

California State University - San Bernardino ,

SAN BERNARDINO, CA ,

College of Science and Engineering - University of Houston - Clear Lake

University of Houston - Clear Lake •

HOUSTON, TX

Southern California Institute of Architecture

LOS ANGELES, CA

  • • Rating 4.56 out of 5   9

University of Texas - Rio Grande Valley

EDINBURG, TX

  • • Rating 4.6 out of 5   114

Showing results 1 through 25 of 33

UCI Department of Molecular Biology and Biochemistry

Ph.D. Degree in Biological Sciences

A multidisciplinary Graduate Program

Cellular and Molecular BioSciences (CMB)

The University of California, Irvine offers a multidisciplinary graduate program in Cellular and Molecular BioSciences (CMB). The program provides a unique opportunity for students to choose a research area and dissertation committee from any of six participating departments: Biological Chemistry, Developmental & Cell Biology, Microbiology & Molecular Genetics, Molecular Biology & Biochemistry, Pathology and Laboratory Medicine, and Physiology & Biophysics.

biology phd programs in california

A flexible Program with a Broad Education for a Ph.D. Degree in the Biological Sciences

This flexible program brings together more than 80 faculty members with diverse research interests and is designed to provide a broad education leading to the Ph.D. degree in Biological Sciences. This joint program increases interactions among the participating departments and facilitates communication and cooperation among members of the various laboratories. All Ph.D. students rotate through participating faculty laboratories during their first year and decide on a thesis advisor before the start of their second year of study.

Faculty research areas include, but are not limited to the following:

Cancer-Icon

Cancer Biology

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Cell Biology

Organism-Icon

Developmental Biology

Genetics-Icon

Immunology and Pathogenesis

Microscope-Icon

Mechanisms of Gene Expression

Brain-Icon

Molecular Neurobiology

Molecular-Icon

Molecular Physiology and Biophysics

Systems-Icon

Structural Biology/Protein Engineering

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For a more complete description of entry requirements, application procedures and admissions information, please go to:  Cellular and Molecular BioSciences .

Stenocarpus sinuatus - Firewheel Tree. Credit: Cameron Hannah-Bick

Earn your Ph.D., M.A., B.S. or B.A. degree in biology at UC Santa Barbara, a world class research university.

Academic Departments

Ecology, Evolution, and Marine Biology Website

Ecology, Evolution, and Marine Biology

Molecular, Cellular, and Developmental Biology Website

Molecular, Cellular, and Developmental Biology

Graduate programs.

Ecology, Evolution, and Marine Biology Graduate Program

Biomolecular Science and Engineering

Interdepartmental Graduate Program in Marine Science

Interdepartmental Graduate Program in Marine Science

UCSB Neuroscience Graduate Programs

Neuroscience Graduate Programs

Biology undergraduate program.

Biological Sciences at the University of California Santa Barbara (UCSB) are administered jointly by the Department of Ecology, Evolution and Marine Biology (EEMB) and the Department of Molecular, Cellular and Developmental Biology (MCDB). Research and teaching programs cover the full spectrum of biological science from molecular biology and biochemistry to community and ecosystems ecology.

The campus's character, physical beauty and location near a historic city with a diverse cultural life and commitment to preserving the environment all provide the setting for an academic community known internationally for its excellence and innovation. A member of the Association of American Universities, this vibrant, energetic campus ranks with Harvard, Stanford and UC Berkeley among the leading institutions of higher learning in the U.S. and Canada. Students know it as a friendly, welcoming place where their professors take the time to help them learn. The quality of faculty members testifies to the strength of UCSB's academic programs and the quantity and quality of its research.

UCSB Campus Point

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Biological Sciences • UC Santa Barbara 2021 © Regents of the University of California

UCSB Lagoon. Credit: Tony Mastres

EEMB Graduate Program

Providing a research and educational environment with the goal of helping students become top-tier scientists working on cutting-edge scientific and societal challenges.

  COVID-19 Information

Important links for EEMB Faculty, Students and Staff.

  Equity, Diversity, Inclusivity, and Wellness

The EEMB Department is particularly interested in providing educational opportunities for students from diverse backgrounds and from groups that are underrepresented in the biological sciences, as well as military veterans, and students with disabilities.

Hillary Young McCauley Photo

Hillary Young

The Department of Ecology, Evolution and Marine Biology at UC Santa Barbara provides broad, interdisciplinary education leading to the Master of Arts and the Doctor of Philosophy degrees with an emphasis on ecology and evolution, and marine biology and oceanography. The diversity of research interests, perspectives, and expertise within the Department promotes the development of a broad foundation in ecology, evolution and marine biology, and the appreciation for interdisciplinary approaches to research. It also allows students to develop depth in specific sub-disciplines including population and community ecology, ecosystems ecology, limnology, and biological oceanography, ecological physiology, evolution, population genetics, climate science, and organismal biology. Faculty in the Department apply experimental (both field and laboratory-based) as well as modeling approaches and there are many opportunities for students to get involved in field work, outreach activities, and teaching.

Graduate Education

Since graduate education involves intellectual development and apprenticeship within a discipline and sub-disciplines, students accepted into EEMB must have a faculty sponsor before they can be admitted. Contact individual faculty whose research programs interest you.

Featured Student Research

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WHAT ARE YOU LOOKING FOR?

Key searches, phd programs, phd programs in biomedical and biological sciences (pibbs).

Portrait of five PIBBS students.

The goal of PIBBS is to recruit top caliber Ph.D. students in the biomedical and biological sciences to USC and to guide them in the identification of a mentor, lab, and research project that will provide rigorous scientific training, an outstanding Ph.D. thesis, and a strong foundation for a variety of science-related careers. The following interdisciplinary Ph.D. programs are part of PIBBS.

Cancer Biology & Genomics (CBG)

CBG capitalizes on our Norris Comprehensive Cancer Center , one of the oldest National Cancer Institute-designated Comprehensive Cancer Centers in the United States. A Comprehensive Cancer Center designation requires that clinical treatment of patients and scientific research are carried out side by side. The Norris has strength in all areas of cancer research, including clinical and basic research and epidemiology.

Development, Stem Cells, & Regenerative Medicine (DSR)

DSR benefits from our wonderful Center for Regenerative Medicine and our strength in stem cell research, tissue engineering and regeneration.

Infectious Diseases, Immunology & Pathogenesis (IDIP)

IDIP is a program focused on translating bench research to the bedside by investigating human organ systems in health and disease. It takes advantage of our outstanding clinical and basic scientists and the exciting interdisciplinary and collaborative atmosphere at USC.

Medical Biophysics (MBPH)

MBPH is a program seeks to answer important biomedical questions using all aspects of biophysics, with an emphasis on structural biology and biophysical methods and theories. Some faculty members of this program are located on the University Park (undergraduate) USC campus.

Molecular Medicine (MMED)

The Molecular Medicine PhD Program offers comprehensive research training at the intersection of medicine and molecular biology, equipping students with practical skills and a collaborative environment to make significant contributions to medical advancements.

Neuromedicine (NEUM)

The NEUM PhD program at Keck School of Medicine trains researchers to address neurological and neurodegenerative diseases through interdisciplinary approaches, equipping them with knowledge in disease biology, pathophysiology, model systems and data science, and the skills to conduct rigorous basic and translational research and develop cutting-edge technologies.  

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Graduate Programs

Science informs medicine and medicine informs science. School of Medicine offers several master's and Ph.D.-level graduate programs for students interested in pursuing careers in health and biomedical sciences research. Our graduate students conduct their thesis work in faculty labs, where their basic, translational and clinical research advances our understanding of human development and disease. Our master's degree and Ph.D. students also contribute to the development of new diagnostics and therapeutics in cardiology, neurology, cancer, diabetes, infectious diseases and more.

Master of Science (M.S.)

  • Master's in Clinical Research

Doctor of Philosophy (Ph.D.)

  • Bioinformatics & Systems Biology
  • Biomedical Sciences
  • Neurosciences
  • Independent PhD:  Medical students may also pursue advanced training leading to a M.A., M.S. or Ph.D. in the Biomedical Sciences Program independent of the Medical Scientist Training Program, or in any of the UC San Diego general campus science or engineering programs. Information is available from relevant departments and faculty.

Joint Programs with San Diego State University

  • Au.D. in Audiology
  • Ph.D. in Clinical Psychology
  • Ph.D. in Interdisciplinary Research on Substance Use

Medical Scientist Training Program

Are you interested in pursuing a joint MD/PhD program? Explore the Medical Scientist Training Program (MSTP) at School of Medicine.

Learn more about MSTP

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NRT research and innovation: Advancing the understanding of complex living systems

Discoveries in biology allow the exploration of the very foundations of life, from the smallest molecules and simplest cells to entire civilizations and complex ecosystems. Biological research that bridges diverse scientific disciplines is vital to deepening the understanding of dynamic living systems and how to help them thrive. It can lead to technological breakthroughs around the most critical societal challenges — from developing innovative medicines that cure disease to improving the environmental resilience of plants for global food security.

The U.S. National Science Foundation Research Traineeship Program (NRT) is committed to supporting researchers across the country who are advancing the biological sciences. By funding innovative science, technology, engineering and mathematics graduate programs focused on cutting-edge, convergent biological research, NRT is building a new generation of biologists prepared to become leaders in a wide range of fields, including botany, ecology, neuroscience, genetics and beyond. Read about three institutions leveraging NRT to support breakthroughs in the biological sciences.

Plants3D — Discover, Design, Deploy at the University of California, Riverside

Harnessing the power and wisdom of plants holds great promise in addressing some of the greatest challenges in agriculture and biotechnology. With the planet's population rapidly expanding, biologists are seeking new ways to improve the environmental resilience of plants to increase crop production and ensure global food security. At the University of California, Riverside, the Plants3D — Discover, Design, Deploy NRT based at the Center for Plant Cell Biology has set out to provide a new generation of STEM graduate students with "the knowledge and skills to combine plant and microbial biology with engineering technologies to discover, design and deploy plant-inspired solutions" to our food security challenges.

Offering highly convergent plant science training related to food security and human health, Plants3D connects faculty and graduate students from various disciplines and departments, such as botany, genetics, biochemistry, plant pathology, engineering, computer science and beyond. In addition to in-depth, interdisciplinary coursework, the program provides the resources for trainees to pursue cutting-edge team-based research. This work fosters entrepreneurialism by encouraging trainees to translate their research discoveries into practical applications. Plants3D is committed to changing the fact that only 3% of the biotechnology workforce is Hispanic or Black by significantly expanding opportunities for minority and first-generation STEM students. This work prepares a new generation of biologists to take on careers in industry, academia and government agencies and lead crucial discoveries in agricultural biotechnology.

Synthetic Biology PhD Training Program at Northwestern University

The field of synthetic biology, which focuses on transforming existing biological organisms and redesigning them for new purposes, is ripe with possibility. Synthetic biologists are making vital research breakthroughs that touch nearly every aspect of daily life, from creating new foods and fuels using sustainable materials to inventing "smart medicines" to treat disease and improve health.

The Synthetic Biology PhD Training Program (SynBAS) NRT at Northwestern University has developed a STEM graduate program allowing trainees to explore "how biology becomes technology" and harness the power of synthetic biology. Trainees explore the principles of living systems — such as molecules, cells, organisms and communities — while drawing on lessons from chemistry, physics, biology, engineering, mathematics, business and more. This convergent approach to synthetic biology training provides unique insight into how synthesizing diverse phenomena can lead to powerful technological breakthroughs. Beyond innovative coursework, SynBAS provides trainees with career mentoring and networking connections to academia and industry, preparing them to become leaders in the synthetic biological sciences.

Data Driven Biology at the University of California, Santa Barbara

In 2021, the University of California, Santa Barbara launched the Data Driven Biology (DDB) NRT with the goal of training "a new generation of biological scientists and engineers who are able to work across disciplines to advance fundamental research in quantitative biology and bioengineering." DDB builds connections among trainees working in a wide range of fields, from electrical, computer and mechanical engineering to molecular, cellular and developmental biology. Through coursework, mentoring and hands-on "in vivo research," the program builds trainees' fluency in data analytics and experimental and modeling methods to engage in data-dense quantitative biology experiments.

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Two Graduate Students Selected for U.S. Department of Energy Research Program

  • by Jessica Heath
  • April 23, 2024

Abigail Hering and Hudson Shih, Ph.D. students in the Department of Materials Science and Engineering at the University of California, Davis, have been selected for this year's Office of Science Graduate Student Research, or SCGSR, program from the U.S. Department of Energy, or DOE. 

Abigail Hering

The SCGSR program provides opportunities for students to conduct part of their graduate thesis research at a DOE laboratory or facility in collaboration with a DOE laboratory scientist. Hering and Shih are two of the 86 awardees from 57 different universities who will conduct their research at national laboratories. 

Abigail Hering

Hering, a third-year Ph.D. student, will be stationed at LBNL's Molecular Foundry, where she will work with Carolin Sutter-Fella, an LBNL staff scientist and expert in inorganic nanostructures, in her Materials for Energy Conversion lab to fabricate halide perovskite thin films using a fully automated robotic fabrication system called the SpinBot. 

Abigail Hering presents her research indoors

In her research in the Leite Lab , led by Professor of Materials Science and Engineering Marina Leite , Hering has focused on characterizing the optical properties of halide perovskites, which are promising materials for a renewable, reliable and low-cost alternative for solar cells . However, halide perovskites can degrade faster than silicon solar cells when exposed to environmental stressors like humidity, temperature, oxygen and light. 

Using the SpinBot system, Hering will be able to fabricate more perovskite thin film samples with a higher degree of control and precision than she can at UC Davis. She will also be able to test the sample qualities immediately after creating them, creating large datasets that can then be analyzed using machine-learning models to predict and classify the degradations that occur. 

"I am very excited about the opportunity to work in Dr. Sutter-Fella's lab and to be part of the collaborative and innovative environment of a national lab," said Hering. "The unique SpinBot system will allow me to advance my research significantly to understand the long-term stability of these materials, which is essential to their implementation as commercial solar cells." 

Hudson Shih

Shih will conduct his residency at the Lawrence Berkeley National Laboratory, or LBNL, National Center for Electron Microscopy, or NCEM, where he will use high-resolution transmission electron microscopy, or TEM, to observe phase transitions in strontium cobaltite. 

Hudson Shih conducts research in Seung Sae Hong's lab at UC Davis

Using advanced TEM techniques such as in-situ TEM and 4D-STEM, Shih aims to deepen the understanding of how oxygen diffusion facilitates the transition between transition phases, which could lead to informing the design of strontium cobaltite oxide-based memristors, themselves promising candidates for dense memory systems in neuromorphic computing.  

Shih, who is in his fourth year pursuing his Ph.D. under the advisement of materials science and engineering professors Yayoi Takamura and Seung Sae Hong , looks forward to working with the researchers at NCEM, who have the knowledge and expertise with these specialized techniques. 

"I am excited to work with experts like Rohan Dhall and Colin Ophus at NCEM who are among the best microscopists in the world," Shih said. "NCEM is known for its pioneering role in electron microscopy, particularly in deploying cutting-edge techniques like 4D-STEM."

Read the DOE announcement

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The Bioinformatics PhD Program is well established, with a long history of successful graduates in both academia and industry.  

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To apply for the Bioinformatics PhD Program, you must submit complete applications by December 1 for admission the following Fall term. Early applications are not allowed and will not be considered. 

Please visit the Rackham Graduate School web pages for additional information on applying. There you will also find information on how to respond to an offer of admission, plus tips and materials required for international applicants and incoming students.

If you are certain about pursuing a Bioinformatics PhD, then applications should be submitted directly to the Bioinformatics PhD Program ; there are more than 100 diverse affiliated faculty to choose from.

Applicants should be U.S. citizens or permanent residents. In addition, applicants with a background in quantitative sciences should consider applying directly. Separately, if you are transferring from another University of Michigan Program or have obtained an established University of Michigan mentor affiliated with the program, a direct application is most appropriate.

PIBS is an umbrella program that offers first-year PhD students flexibility in exploring opportunities in bioinformatics and thirteen other graduate programs. Through PIBS, students have the opportunity to rotate in, and potentially join the lab of a faculty mentor in another program; there are more than 500 diverse faculty to select from. PIBS students who list Bioinformatics as their primary choice must complete at least one rotation with a Bioinformatics-affiliated faculty member. After 10 months in PIBS, students officially join Bioinformatics (or one of the other programs). You can visit the PIBS website for more information.

Please note that reviewing admissions faculty for both PIBS and direct applications are the same. In addition, admitted applicants take the same Bioinformatics-specific courses and activities. See below for details on program diversity outreach, application materials, and funding.

Students who will have an MS in a relevant field (e.g. computer science, statistics, biostatistics, biology) from another university may request to have up to 6 credit-hours (two classes) waived. These classes may be used to help fulfill the core PhD requirements for biology (1 course), statistics (2 courses), and/or computing (1 course). To obtain approval, students need to send a detailed syllabus of the class(es) they took to the PhD directors along with their grade(s), which must be a B or better. The other PhD course requirements, including BIOINF-529 and two advanced bioinformatics courses, cannot be waived.

Most international Bioinformatics PhD applicants should apply through PIBS. However, some who are already embedded in a University of Michigan mentor lab affiliated with the program may be an appropriate fit for the direct Bioinformatics PhD program.

The TOEFL or IELTS exam is required unless Rackham Graduate School waiver requirements have been met. Criteria for English proficiency exemption can be found on the Rackham website . In addition, a list of required credentials from non-U.S. institutions for an application can be found here.

The Bioinformatics Graduate Program encourages applications from traditionally underrepresented minorities, students with disabilities, and those from disadvantaged backgrounds. There are numerous funding opportunities and resources on campus to contribute to students overall well-being while pursuing studies. Several resources available to students can be found on the Rackham Graduate School Diversity, Equity, and Inclusion website .

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All application materials should be submitted electronically when possible. Applicants must meet  Rackham's Minimum Requirements for Admission . The  online application form  can be found on the Rackham Admissions webpages. The application is available in early September through the deadline. 

  • GPA, minimum 3.2/4.0 (exceptions may be made if deemed appropriate)
  • Letters of recommendation (3 required): Please be aware that submitting only the Rackham Recommendation for Admission Form is insufficient; forms must be accompanied by a letter from the recommender. All letters are due by the application deadline. Without them, applications will not be considered complete or reviewed by the Program Admissions Committee.
  • Statement of Purpose: The Statement of Purpose should be a concise, well-written statement about your academic and research background, your career goals, and how Michigan's graduate program will help you meet your career and educational objectives.
  • Personal Statement: The Personal Statement should be a concise, well-written statement about how your personal background and life experiences, including social, cultural, familial, educational, or other opportunities or challenges, motivated your decision to pursue a graduate degree at the University of Michigan. This is not an Academic Statement of Purpose, but a discussion of the personal journey that has led to your decision to seek a graduate degree.
  • Transcripts: Please submit unofficial transcripts electronically with your online application
  • GRE scores are no longer included as part of admission
  • Applicants whose native language is not English must demonstrate English proficiency via either the TOEFL or IELTS exam. The institution code is 1839. Other exams may not be substituted. Rackham Graduate School offers a full explanation of this requirement , including exemption criteria. Please contact Rackham directly ( [email protected] ) with questions.

Diversity is a key component of excellence, especially for solving the complex biomedical challenges that our field of computational medicine and bioinformatics faces. We believe that all people—regardless of background, race, religion, sexual/gender orientation, age or disability—deserve an equitable opportunity to pursue the education and career of their choice.

The Bioinformatics Graduate Program will provide tuition, healthcare coverage, and a stipend on a 12-month basis. This level of support will be maintained throughout a student's tenure in the Program, provided s/he remains in good academic standing and makes reasonable progress towards the degree as determined by the Graduate Directors, with faculty input. It is expected that the student will be supported directly by the mentor's laboratory, beginning in the second year. The expected time to degree is typically 5-6 years.

The U-M MS program is a terminal degree program. If you are interested in the Bioinformatics PhD Program, you must submit a new application. If you are a Bioinformatics MS student who is in good academic standing and has identified a Bioinformatics affiliated faculty mentor, you may apply for admission directly to the PhD Bioinformatics Program for the Winter term. Reviewing faculty take all application components into account and mentors are prepared to take both academic and financial responsibility for their trainees.

Eligibility: Only current or recently graduated University of Michigan Master’s students are eligible. Before applying, students must have completed more than half of all required courses, with at least six credits from the Bioinformatics Program.

Application deadline: October 1

The online application form can be found on the Rackham Admissions webpages. The application is available in early September through the deadline.

  • Letters of recommendation: Please be aware that submitting only the Rackham Recommendation for Admission Form is insufficient; forms must be accompanied by a letter from the recommender. If you wish to include three letters from your original application, only one additional letter is needed. It must be from the DCMB faculty member who will serve as your primary mentor. The letter should state clearly that the mentor takes responsibility for your funding upon admission. Alternatively, you may wish to obtain three new letters of recommendation. The Admissions Committee strongly encourages you to include letters from those familiar with your research and coursework obtained while pursuing your Master’s degree. Of these, one must be from the faculty member who will serve as your primary mentor. The letter should state clearly that the mentor takes responsibility for your funding upon admission.
  • Statement of Purpose: The Statement of Purpose should be a concise, well-written statement about your academic and research background, your career goals, and how the PhD Program will help you meet your career and educational objectives.
  • Transcripts: Only a current, unofficial U-M transcript is necessary. You do not need to re-submit materials included with your Master’s application.
  • TOEFL: If you submitted TOEFL scores when applying to the Master’s Program, additional test scores are not needed.

Bioinformatics consists of a mathematical and/or statistical analysis of a biomedical problem using computation. We define bioinformatics widely and include traditional bioinformatics areas such as for examples, systems biology, genomics, proteomics, plus statistical and evolutionary genetics, clinical informatics, and protein modeling.

As an interdisciplinary field, Bioinformatics attracts graduate students from mathematics, statistics, physics, computer science, biomedical engineering, chemistry, biochemistry and biology. Most incoming students have both a major in one and a minor in another discipline. In recent years students have entered with undergraduate training in bioinformatics or computational biology.

Each student obtains individual counseling by one of the two graduate program directors upon arrival and throughout their academic career. As Bioinformatics is still developing, new courses are added all the time. Current students are encouraged to contact the Program Directors about courses that may be relevant to their studies and are not listed on the website (esp. if they are new or infrequently offered).

In most cases, we recommend you apply to the PIBS program, as it provides flexibility in classes, funding, and a central admission for many biomedical programs. If you have no or very little biology background, please contact our Student Services Representative as to whether a direct application would be better. Current student who are considering transferring areas of study should also contact the Bioinformatics Graduate Office.

There is no need to apply both direct and through PIBS, as the same committee sees your applications.

For most students, thesis work includes computing, reading, and writing. A small group also participates in wet laboratory work. Please check both the research areas and student webpages for an overview of the varied subjects addressed in research and student theses.

Many of our graduate students obtain academic postdoctoral fellowships and go on to faculty positions. Quite a significant number of graduates go into non-academic professions such as small or large biotech companies. Some have founded their own business, and others apply their analytical skills in companies unrelated to bioinformatics. For a current list of graduate placement, please visit the alumni pages.

No. If you want to get a PhD, directly apply to the PhD Program.

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Hannah Kenagy and Melissa Ramirez join Department of Chemistry

Headshot photographs of Melissa Ramirez and Hannah Kenagy on a maroon and gold polka-dot background.

MINNEAPOLIS / ST. PAUL (04/22/2024) – The Department of Chemistry will welcome Dr. Hannah Kenagy and Dr. Melissa Ramirez to the faculty in January 2025. Both chemists will enter the department as Assistant Professors. 

Hannah S. Kenagy will join the department in January 2025 after completion of her postdoctoral training at the Massachusetts Institute of Technology (MIT), where she currently works as an NSF AGS Postdoctoral Fellow with Prof. Jesse Kroll and Prof. Colette Heald. Prior to her current position at MIT, Kenagy completed her PhD at the University of California Berkeley in 2021 with Ronald Cohen and her BS in Chemistry and the University of Chicago in 2016. 

At the University of Minnesota, the Kenagy research group will focus on atmospheric chemistry. Kenagy’s research explores how emissions into the atmosphere get physically and chemically transformed into gases and particles with impacts on air quality and climate. “We will use an integrated toolset for thinking about these questions, including lab experiments, field observations, and multi-scale modeling,” Kenagy says. “In particular, we’ll focus on questions regarding how atmospheric chemistry and composition are changing as we reduce our reliance on fossil fuel combustion and as temperatures continue to rise with climate change. Integrating measurements and models together will enable us to push forward our understanding of this changing chemistry.”

Kenagy is passionate about integrating environmental chemistry learning opportunities in her classrooms to make real-world connections for students. “Because so much of my research is relevant to air quality and climate – things that impact people’s daily lives, often inequitably – outreach is a really key component of my group’s work,” Kenagy says. She also engages in ongoing efforts to make science more accessible, and to ensure all students have the resources they need to thrive and develop a sense of belonging in science.

The UMN Department of Chemistry’s strong focus on environmental chemistry and the opportunities to engage in interdisciplinary research make the move to Minnesota particularly exciting for Kenagy. “I’m looking forward to joining a university with atmospheric scientists in a variety of departments across both the Minneapolis and St. Paul campuses. I also plan to make some measurements of urban chemistry across the Twin Cities, a unique environment that is impacted by agricultural and biogenic emissions in addition to more typical urban emissions. This mix of emissions makes the Twin Cities an interesting place to study the air!”

When she’s not busy in the office and lab, Kenagy loves being outside, hiking and swimming. She also loves music – she plays piano and sings – and cooking.  You can read more about Kenagy here.

Melissa Ramirez will also make her move to Minnesota in January of 2025. Currently, Ramirez is an NIH K99/R00 MOSAIC Scholar, NSF MPS-Ascend Fellow, and Caltech Presidential Postdoctoral Scholar in the laboratory of Prof. Brian Stoltz at the California Institute of Technology, where her research focuses on enantioselective quaternary center formation using experiments and computations. Before her postdoctoral position, Ramirez completed her PhD in Organic Chemistry at the University of California, Los Angeles with Prof. Ken Houk and Prof. Neil Garg in 2021 and her BA in Chemistry at the University of Pennsylvania in 2016. 

The Ramirez laboratory at UMN will develop experimental and computational approaches to address challenges associated with efficiency in the synthesis of pharmaceutically relevant small molecules. “The mission of my research program will be to establish synthetic methods in the areas of main group catalysis, asymmetric organocatalysis, and transition metal photochemistry with the aid of computations,” Ramirez writes. “Students trained in my lab will develop strong skills in synthetic and computational organic chemistry with a focus on reaction development. This synergistic skillset in synthesis and computations will also give rise to a range of opportunities for collaboration with the broader scientific community.” Ramirez aims to bridge synthesis and catalysis research with computational chemistry at UMN.

Ramirez says an important goal for her as a professor will be to challenge students, support them, and make them feel connected to the classroom regardless of their background. “Throughout my academic career, some of the most effective teachers I have had are those who believed in my potential even when I experienced self-doubt or failure,” Ramirez says. She is also looking forward to collaborating with the Chemistry Diversity, Equity, and Inclusion Committee to explore ways to better connect students with resources to help remove barriers to their science education and career. “I am excited to help recruit a diverse student body by helping organize the  CheMNext session and by continuing my close relationship with organizations such as the Alliance for Diversity in Science and Engineering and Científico Latino, which I have served on the organizational board for during my postdoc,” Ramirez says.

When she’s not on campus, Ramirez enjoys staying active. She’s an avid runner, loves Peloton, and likes taking high-intensity interval training (HIIT) classes.  You can learn more about Ramirez here.

The hiring of Kenagy and Ramirez follows the recent announcement of Dr. Jan-Niklas Boyn and Dr. Kade Head-Marsden joining the faculty in Fall 2024 . These four incoming Gophers will bring the Department of Chemistry total of new faculty hires to nine over the past three years. We are excited for these outstanding chemists to join our community, and be part of the ongoing growth of the College of Science and Engineering on the UMN-TC campus.

Related news releases

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IMAGES

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  28. Hannah Kenagy and Melissa Ramirez join Department of Chemistry

    Melissa Ramirez will also make her move to Minnesota in January of 2025. Currently, Ramirez is an NIH K99/R00 MOSAIC Scholar, NSF MPS-Ascend Fellow, and Caltech Presidential Postdoctoral Scholar in the laboratory of Prof. Brian Stoltz at the California Institute of Technology, where her research focuses on enantioselective quaternary center formation using experiments and computations.